Kartik Gupta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Object Manipulation

Music Recommendation

Matrix Completion

Top Venues

Publications

Kartik Gupta, Rahul Vippala, Sahima Srivastava
Transfer Learning with Point Transformers. CoRR (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR (2024)
Kartik Gupta, Akshay Asthana
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. WACV (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR (2024)
Kartik Gupta, Akshay Asthana
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. CoRR (2023)
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023)
Abhishek Verma, Manas Agrawal, Kartik Gupta, Aatif Jamshed, Anurag Mishra, Harsh Khatter, Gopal Gupta, Sanjeev Chandra Neupane
Plantosphere: Next Generation Adaptive and Smart Agriculture System. J. Sensors 2022 (2022)
Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR (2022)
Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. ACM Multimedia (2022)
Kartik Gupta, Thalaiyasingam Ajanthan
Improved Gradient-Based Adversarial Attacks for Quantized Networks. AAAI (2022)
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR (2022)
Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. CoRR (2022)
Andy Spezzatti, Elham Kheradmand, Kartik Gupta, Marie Peras, Roxaneh Zaminpeyma
Note: Leveraging Artificial Intelligence to build a Data Catalog and support research on the Sustainable Development Goals. COMPASS (2022)
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Calibration of Neural Networks using Splines. ICLR (2021)
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
Mirror Descent View for Neural Network Quantization. AISTATS (2021)
Kartik Gupta, Thalaiyasingam Ajanthan
Improved Gradient based Adversarial Attacks for Quantized Networks. CoRR (2020)
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Calibration of Neural Networks using Splines. CoRR (2020)
Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Post-hoc Calibration of Neural Networks. CoRR (2020)
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
Learning Minimax Estimators via Online Learning. CoRR (2020)
Kartik Gupta, Lars Petersson, Richard Hartley
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. CoRR (2019)
Yi Herng Ong, John Morrow, Yu Qiu, Kartik Gupta, Ravi Balasubramanian, Cindy Grimm
. IROS (2019)
Kartik Gupta, Lars Petersson, Richard Hartley
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. ICCV Workshops (2019)
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
Mirror Descent View for Neural Network Quantization. CoRR (2019)
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR (2018)
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Attentive neural architecture incorporating song features for music recommendation. RecSys (2018)
Kartik Gupta, Noveen Sachdeva, Vikram Pudi
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR (2018)
Kartik Gupta, Darius Burschka, Arnav Bhavsar
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. CoRR (2018)
Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
Nearly Optimal Robust Matrix Completion. ICML (2017)
Kartik Gupta, Arnav Bhavsar
Scale Invariant Human Action Detection from Depth Cameras Using Class Templates. CVPR Workshops (2016)
Kartik Gupta, Darius Burschka, Arnav Bhavsar
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions. CVPR Workshops (2016)
Kartik Gupta, Arnav Bhavsar
Human Action Recognition for Depth Cameras via Dynamic Frame Warping. CVIP (2) (2016)
Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
Nearly-optimal Robust Matrix Completion. CoRR (2016)
Kartik Gupta, V. Krishna Nandivada
Lexical state analyzer for JavaCC grammars. Softw. Pract. Exp. 46 (6) (2016)
Kartik Gupta, V. Krishna Nandivada
Lexical State Analyzer. CoRR (2013)